Here’s the difference between Great Expectations and Deepnote. The comparison is based on pricing, deployment, business model, and other important factors.
Great Expectations provides open-source enterprise data management solutions. It helps data teams eliminate pipeline debt, through data testing, documentation, and profiling. It maintains up-to-date data documentation by rendering expectations directly into clean, human-readable documentation. Users can join to GitHub and Slack community groups.
Deepnote provides programming notebooks for developers. The product offers variables & plots, code intelligence, real-time collaboration. It also provides integration with GitHub and GitLab, Amazon S3, MongoDB, GCS buckets, PostgreSQL connections. It offers a data science book that provides deployment. Also, it enables to review of project work, visualizes data, and offers intelligent completion solutions.
| Overview | ||
|---|---|---|
| Categories | Data Quality Monitoring | Data Workspace/ Collaboration |
| Stage | Early Stage | Early Stage |
| Target Segment | Mid size | Mid size, Enterprise |
| Deployment | On Prem | SaaS |
| Business Model | Open Source | Commercial |
| Pricing | Freemium | Freemium, Contact Sales |
| Location | California, US | San Francisco, California |
| Companies using it | ||
| Contact info |